arxiv
PublishedJuly 16, 2026 at 4:00 AM
—neutral
Operator-on-F complements value-equivalence: a planning-time diagnostic for latent world models
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arXiv:2607.04464v2 Announce Type: replace-cross Abstract: World-model evaluation for model-based reinforcement learning typically asks whether the learned model predicts reward and value well, which can leave planning-relevant errors in the model's latent rollouts unmeasured. We introduce a compleme
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Originally published on arxiv ↗